The global cell culture market is projected to grow at a CAGR of 12% from 2025 to 2030. This growth is driven by increasing ...

Lipids are difficult to detect with light microscopy. Using a new chemical labeling strategy, a Dresden-based team led by ...

1 College of Information Technology, Jilin Agricultural University, Changchun, China 2 College of Information Engineering, Changchun University of Finance and Economics, Changchun, China Introduction: ...

Abstract: In recent years, deep learning has been widely utilized in the fields of biomedical image segmentation and cellular image analysis. Supervised deep neural networks trained on annotated data ...

Instance segmentation has been the most challenging task in the field of computer vision, and its techniques are widely used in the fields of intelligent driving, intelligent medical imaging, remote ...

Abstract: Cervical cancer remains a major cause of morbidity and mortality worldwide, highlighting the need for early detection and effective treatment strategies. This study develops a robust deep ...

This important work presents a self-supervised method for the segmentation of 3D cells in fluorescent microscopy images, conveniently packaged as a Napari plugin and tested on an annotated dataset.

An app for segmentation and classification of images of cells from optical microscope. This project uses marker controlled watershed (openCv), and pretrained ResNet-50 model (tensorflow) ...